Job
Description
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! About Quantiphi Quantiphi is a cutting-edge AI and data science company focused on delivering transformative solutions through innovation and technology. Phi Labs (RD) spearheads research and development in advanced machine learning, tackling complex real-world challenges through cutting-edge algorithmic innovation. Role Overview We are seeking a highly skilled Senior Machine Learning Engineer to join Phi Labs (RD), specializing in cutting-edge AI technologies including agentic AI, multimodal learning, and generative AI. You will design and develop innovative models that enable autonomous, context-aware systems, integrate multiple data modalities (text, vision, audio, etc.), and create state-of-the-art generative models. This role offers a unique opportunity to push the boundaries of AI capabilities in a research-driven environment. Key Responsibilities Design and develop advanced machine learning models focusing on agentic AI enabling autonomous agents that perceive, reason, and act effectively in complex environments. Develop multimodal AI systems that seamlessly integrate and reason across diverse data types such as images, text, video, and audio. prototype and implement generative AI models (e.g., GANs, diffusion models, large language models) for innovative applications. Demonstrate deep expertise in core NLP concepts including tokenization, embeddings, attention mechanisms, and transformer architectures (e.g., BERT, GPT, T5, and their variants). Stay current with cutting-edge research by actively reading, analyzing, and synthesizing insights from recent ML/AI papers to identify novel techniques and breakthrough applications for product innovation. Collaborate with data scientists, engineers, and product teams to build scalable ML pipelines and deploy models into production. Optimize and fine-tune large-scale models to improve performance, efficiency, and interpretability. Lead exploratory research efforts to identify novel AI techniques and applications, contributing to publications, patents, and technology roadmaps. Mentor junior team members and promote best practices in AI research and engineering. Design and implement state-of-the-art machine learning models for complex, large-scale problems. Proven ability to translate research papers into practical implementations and production-ready solutions Qualifications Bachelor s degree in Computer Science, Machine Learning, AI, or related fields. with 4+ years of industry experience in Machine Learning engineering, preferably with a strong focus on research and development (RD). Master s degree in Computer Science, Machine Learning, AI, or related fields. with 3+ years of industry experience in Machine Learning engineering, preferably with a strong focus on research and development (RD) Deep expertise in developing and deploying agentic AI systems , multimodal learning models , and generative AI architectures . Proficiency with Python and ML frameworks like TensorFlow, Pytorch, Hugging Face Transformers, or similar. Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Strong problem-solving, communication, and collaboration skills. Preferred Skills Hands-on experience with reinforcement learning, large language models, diffusion models, or vision-language models. Knowledge of MLOps and model interpretability/explain ability frameworks. Experience with real-time AI systems or human-AI interaction models. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us !
